Documented agreements that define the required attributes of data within an organization, ensuring that it is accurate, consistent, reliable, and fit for use. These standards encompass key dimensions such as accuracy, consistency, completeness, timeliness, and uniqueness. They guide data governance by establishing clear criteria for data entry, format, and representation. Enforced through tools like data quality software, these standards are essential for compliance with regulations and policies, reducing errors, and minimizing costs by ensuring data validity. Standardized schemas for recording quality test results further support interoperability.